Objective: We aim to construct an artificial intelligence (AI)-assisted nasal endoscopy diagnostic system capable of preliminary differentiation and identification of nasal neoplasia properties, as well as intraoperative tracking, providing an important basis for nasal endoscopic surgery.
Methods: We retrospectively analyzed 1050 video data of nasal endoscopic surgeries involving four types of nasal neoplasms. Using Deep Snake, U-Net, and Att-Res2-UNet, we developed a nasal neoplastic detection network based on endoscopic images.
Background: Informal caregivers may face challenges, especially during the pre-transplant phase. We have learned about the challenges faced by informal caregivers during hematopoietic stem cell transplantation; there is a lack of consensus about the challenges faced by them before transplantation. We identified the psychosocial well-being of informal caregivers to patients before hematopoietic stem cell transplantation.
View Article and Find Full Text PDFHeterogeneity during (Mtb) infection greatly impacts disease outcome and complicates treatment. This heterogeneity encompasses many facets, spanning local differences in the host immune response to Mtb and the environment experienced by the bacterium, to nonuniformity in Mtb replication state. All of these facets are interlinked and each can affect Mtb susceptibility to antibiotic treatment.
View Article and Find Full Text PDFBackground: Cardiovascular diseases (CVD) represent a major global health challenge, necessitating up-to-date data on its burden for effective care planning and resource allocation. This study comprehensively analyzes the global, regional, and national CVD burden and associated risks from 1990 to 2021.
Methods And Results: We performed a secondary analysis of CVD burden and risk factors using the Global Burden of Disease (GBD) 2021 study.